Staff Engineer Data & Intelligence (all genders)

chargecloud

7d•Remote

About The Position

The Staff Engineer Data & Intelligence owns and evolves data architecture across the Data & Intelligence cluster and builds batch and streaming pipelines to ingest, enrich, and process charging, POI, traffic, and market data. The role performs complex data analysis and translates findings into clear recommendations for internal stakeholders and customers. It researches, builds, and evaluates forecasting models for charge point and site utilization, including backtesting, error metrics, and drift monitoring, and develops and simulates smart pricing approaches before live rollout. The position documents architectural and modelling decisions, communicates trade-offs to technical and non-technical audiences, and develops engineers and analysts through workshops, pair programming, design reviews, and code-quality feedback. It drives AWS and Databricks infrastructure decisions relevant to data delivery, with attention to cloud costs, and identifies AI tooling to improve analysis, development productivity, and data quality. This is a permanent, full-time role with flexible working hours and a remote-first arrangement; the company also has a headquarters in Cologne and coworking spaces across Germany.

Requirements

Already working at Staff Engineer level or equivalent, with technical leadership demonstrated across teams.
Strong experience with Python and Spark at production scale.
Experience with relational and NoSQL databases and modern table formats such as Delta Lake, Iceberg, or Parquet.
Ability to perform complex data analysis and research forecasting models, and rigorously evaluate model results.
Experience designing batch and streaming architectures, including delivery semantics and schema evolution.
Strong AWS experience and understanding of how cloud infrastructure affects data delivery.
Proactive and clear written and verbal communication skills, and ability to help teams find a shared direction.
Fluent English.

Nice To Haves

Experience with Kafka, RabbitMQ, or CDC tools such as Debezium.
Experience with Kubernetes and Dagster.
Experience with e-mobility, energy, or mobility data.
German language skills.
Interest in and active exploration and application of AI tools and techniques in daily work.

Responsibilities

Own and evolve data architecture across the Data & Intelligence cluster.
Build batch and streaming pipelines to ingest, enrich, and process charging, POI, traffic, and market data.
Perform complex data analysis and turn results into recommendations for internal stakeholders and customers.
Research, build, and evaluate charge point and site utilization forecasting models using backtesting, error metrics, and drift monitoring.
Develop smart pricing approaches based on market data, forecasts, and events, and simulate them before live rollout.
Make and document architectural and modelling decisions, communicating trade-offs to engineers and non-technical stakeholders.
Train engineers and analysts in data engineering, analysis, and forecasting through workshops, pair programming, design reviews, and code-quality feedback.
Drive AWS and Databricks infrastructure decisions relevant to data delivery, including cloud cost awareness.
Identify and introduce AI tooling to improve analysis, development productivity, and data quality.

Benefits

Home-office hardware and, after the probation period, a budget for ergonomic home-office equipment.
Flexible working hours with core working time from 9:00 to 12:00.
Workation Worldwide program allowing remote work for up to 60 days per year from locations within ±4 hours of the German time zone.
Monthly flexible benefits budget managed via Probonio, usable for meal subsidies, childcare support, vouchers, or an Urban Sports Club membership.
32 days of paid vacation per year, plus Christmas Eve and New Year’s Eve off and a Culture Day.
Company-wide Shared Success Plan bonus.
Electric vehicle leasing through FINN JobAuto and bike leasing.
Urban Sports Club, life coaching programs, and additional wellbeing offerings.
20% contribution to the company pension plan.
Access to a corporate benefits portal.